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expected to assist with data coding of video and audio data for behavioural analysis of parent-infant social interaction and synchrony. Candidates with a proven track-record in one or more of these areas
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guidance. Develop documentation, training materials, and reusable code templates. Requirements Bachelor’s degree in Computer Engineering, Sciences or its equivalent. Hands-on experience with CUDA, OpenCL, C
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advanced proficiency. Working knowledge of widely used statistical tests. Functional proficiency in statistical coding using R, Python, or similar programming languages. Proficiency in written and spoken
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and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable. • MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git
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Compile survey data Summarise and code interview data Draft presentation slides Co-write and edit progress and final reports Undertake administrative duties relating to the dissemination of findings
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operational aspects Strong organisational and multitasking skills, with the ability to prioritise and manage multiple tasks and responsibilities Possess professional values that are in line with the Code
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the ability to prioritise and manage multiple tasks and responsibilities Possess professional values that are in line with the Code of Ethics of SAC Possess good interpersonal and communication skills
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coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students and supporting research teams
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learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICLR, ICCV, ECCV, NeurIPS, ICML. Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc
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Management Ensure data accuracy, consistency, and secure storage in accordance with research protocols. Perform preliminary data cleaning, coding, and entry for statistical analysis. Assist in the preparation